Approximate polynomial expansion for joint density

D. Pommeret. "Approximate polynomial expansion for joint density." Applicationes Mathematicae 32.1 (2005): 57-67. <http://eudml.org/doc/279165>.

@article{D2005,
abstract = {Let (X,Y) be a random vector with joint probability measure σ and with margins μ and ν. Let $(Pₙ)_\{n∈ℕ\}$ and $(Qₙ)_\{n∈ℕ\}$ be two bases of complete orthonormal polynomials with respect to μ and ν, respectively. Under integrability conditions we have the following polynomial expansion: $σ(dx,dy) = ∑_\{n,k∈ℕ\} ϱ_\{n,k\} Pₙ(x)Q_k(y) μ(dx)ν(dy)$. In this paper we consider the problem of changing the margin μ into μ̃ in this expansion. That is the case when μ is the true (or estimated) margin and μ̃ is its approximation. It is shown that a new joint probability with new margins is obtained. The first margin is μ̃ and the second one is expressed using connections between orthonormal polynomials. These transformations are compared with those obtained by the Sklar Theorem via copulas. A bound for the distance between the new joint distribution and its parent is proposed. Different cases are illustrated.},
author = {D. Pommeret},
journal = {Applicationes Mathematicae},
keywords = {bivariate density function; connection coefficient; copula; orthogonal polynomial},
language = {eng},
number = {1},
pages = {57-67},
title = {Approximate polynomial expansion for joint density},
url = {http://eudml.org/doc/279165},
volume = {32},
year = {2005},
}

TY - JOUR
AU - D. Pommeret
TI - Approximate polynomial expansion for joint density
JO - Applicationes Mathematicae
PY - 2005
VL - 32
IS - 1
SP - 57
EP - 67
AB - Let (X,Y) be a random vector with joint probability measure σ and with margins μ and ν. Let $(Pₙ)_{n∈ℕ}$ and $(Qₙ)_{n∈ℕ}$ be two bases of complete orthonormal polynomials with respect to μ and ν, respectively. Under integrability conditions we have the following polynomial expansion: $σ(dx,dy) = ∑_{n,k∈ℕ} ϱ_{n,k} Pₙ(x)Q_k(y) μ(dx)ν(dy)$. In this paper we consider the problem of changing the margin μ into μ̃ in this expansion. That is the case when μ is the true (or estimated) margin and μ̃ is its approximation. It is shown that a new joint probability with new margins is obtained. The first margin is μ̃ and the second one is expressed using connections between orthonormal polynomials. These transformations are compared with those obtained by the Sklar Theorem via copulas. A bound for the distance between the new joint distribution and its parent is proposed. Different cases are illustrated.
LA - eng
KW - bivariate density function; connection coefficient; copula; orthogonal polynomial
UR - http://eudml.org/doc/279165
ER -